AI必须通过超人类适应性智能拥抱专业化
AI Must Embrace Specialization via Superhuman Adaptable Intelligence
AI总结：
本文提出超人类适应性智能（SAI）概念，主张AI应通过专业化追求超人类表现，而非追求通用智能。
摘要：
从AI高管和研究人员到预言家、政治家和活动家，所有人都在谈论人工通用智能（AGI）。然而，他们似乎对AGI的确切定义并不一致。一个常见的AGI定义是能够做人类一切事情的AI，但人类真的普遍吗？在本文中，我们探讨了我们对AGI概念的错误之处，以及即使在最清晰的表述中，它也是描述AI未来的一种错误概念。我们探讨了最广泛接受的定义是否合理、有用且真正普遍。我们论证AI必须拥抱专业化，而不是追求普遍性，并在专业化中追求超人类表现，并引入超人类适应性智能（SAI）。SAI被定义为一种能够学习在我们能做的事情上超越人类的智能，并能填补人类无法完成的技能缺口。我们随后阐述了SAI如何帮助澄清围绕AI的讨论，该讨论因AGI的过载定义而变得模糊，并推断使用它作为未来指南的含义。
英文摘要：
Everyone from AI executives and researchers to doomsayers, politicians, and activists is talking about Artificial General Intelligence (AGI). Yet, they often don't seem to agree on its exact definition. One common definition of AGI is an AI that can do everything a human can do, but are humans truly general? In this paper, we address what's wrong with our conception of AGI, and why, even in its most coherent formulation, it is a flawed concept to describe the future of AI. We explore whether the most widely accepted definitions are plausible, useful, and truly general. We argue that AI must embrace specialization, rather than strive for generality, and in its specialization strive for superhuman performance, and introduce Superhuman Adaptable Intelligence (SAI). SAI is defined as intelligence that can learn to exceed humans at anything important that we can do, and that can fill in the skill gaps where humans are incapable. We then lay out how SAI can help hone a discussion around AI that was blurred by an overloaded definition of AGI, and extrapolate the implications of using it as a guide for the future.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
